Geospatial Data Abstraction Library (GDAL)

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Overview

HEALTH SCORE

Excellent*

Partial score (2/3 categories)

62out of 65

Strong maintainer coverage. Development cadence is the only remaining gap. Security & Supply Chain is unavailable, so weights were redistributed.

LIFECYCLE

Active

Consistent commits, responsive maintainers, regular releases, and healthy issue triage.

Display your project Health score on your GitHub page.

Health breakdown

Excellent*(62/65)

Maintainer availability, known risks and supply chain posture, and whether the project is actively developed or appropriately stable.

Maintainer responsiveness

Median response time is 0 days.

Bus factor

35 active maintainers currently have merge rights.

Organization Diversity

Contributors span 221 organizations.

Project Achievements

Leaderboards

About

GDAL (Geospatial Data Abstraction Library) is a translator library for raster and vector geospatial data formats that provides a unified abstract data model and API for accessing and manipulating geographic data. It supports reading, writing, and processing of a wide variety of geospatial file formats.

First commit

October 1998

Software value

$96M